Article Dans Une Revue Environmental Modelling and Software Année : 2016

Uncertainty analysis and evaluation of a complex, multi-specific weed dynamics model with diverse and incomplete data sets

Michel Bertrand
Hugues Busset
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Floriane Colas
Sylvie Granger
Dominique Meunier
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Nicolas Munier-Jolain
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Florence Strbik
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Antoine Gardarin

Résumé

Weed dynamics models are needed to test prospective cropping systems but are rarely evaluated with independent data ("validated"). Here, we evaluated the FLORSYS model which quantifies the effects of cropping systems and pedoclimate on multispecific weed dynamics with a daily time step. We adapted existing validation methodologies and uncertainty analyses to account for multi-specific, multi-annual and diverse outputs, focusing on missing input data, incomplete and imprecise weed time series. Field data ranged from entirely monitored cropping system trials to annual snapshots recorded on farm fields by the French Biovigilance-Flore network. FLORSYS satisfactorily predicted weed seed bank, plant densities and crop yields, at daily and multi-annual scales, at well monitored sites. It overestimated plant biomass and underestimated total flora density. Missing processes (photoperiod dependency in flowering, crop:weed competition for nitrogen) and inadequately predicted scenarios (weed dynamics in untilled fields, floras with summer-emerging species) were identified. Guidelines for model use were proposed.

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Dates et versions

hal-01533950 , version 1 (06-06-2017)

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Citer

Nathalie Colbach, Michel Bertrand, Hugues Busset, Floriane Colas, François Dugue, et al.. Uncertainty analysis and evaluation of a complex, multi-specific weed dynamics model with diverse and incomplete data sets. Environmental Modelling and Software, 2016, 86, pp.184-203. ⟨10.1016/j.envsoft.2016.09.020⟩. ⟨hal-01533950⟩
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